A. Abstract and Key Personnel Digital image acquisition and analysis are key to the research goals of the Center. There are currently 24 Center research teams actively using a number of shared hardware/software systems for image acquisition and analysis. Current applications of computer-assisted image processing span a wide range of complexity including 1) use of turn-key systems such as confocal microscopy or digital photomicroscopy for image acquisition through light and electron microscopes;2) use of interactive """"""""computer-aided anatomy"""""""" systems for automating the extraction of quantitative information in 2-D and 3-D from histological sections;3) customization of software packages for 3-D reconstruction and rendering from serial image stacks to aid in the visualization and understanding of complex morphological relationships, and 4) software development for the creation of image-analysis paradigms in functional brain imaging. The goals of the Imaging Core are to provide the expertise and technical support required for Center Investigators to derive full benefit from the research tools available in this fast-changing hardware/software environment and to disseminate, where practical, the imaging tools developed here to the wider scientific and clinical community. To achieve this, the Imaging Core will provide support at several levels.
Aim 1 (image acquisition) provides facilities maintenance, user training and/or image-acquisition services on the new shared confocal microscope and shared digital-image acquisition systems for light and electron microscopy.
Aim 2 (image analysis and processing) addresses needs for a centralized base of relevant knowledge and expertise in image analysis and software development to aid in 1) the matching of software application with research goals when a good match exists, 2) the customization of software required when existing applications, or groups of applications, can be modified to fit particular needs, and 3) the de-novo development of image-processing software tools when no other good solution exists.
Aim 3 (dissemination) proposes the further development of virtual teaching and research tools and the continued sponsorship of a website to make them available to the greater scientific community.

National Institute of Health (NIH)
National Institute on Deafness and Other Communication Disorders (NIDCD)
Center Core Grants (P30)
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Special Emphasis Panel (ZDC1)
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Massachusetts Eye and Ear Infirmary
United States
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Chung, Yoojin; Hancock, Kenneth E; Delgutte, Bertrand (2016) Neural Coding of Interaural Time Differences with Bilateral Cochlear Implants in Unanesthetized Rabbits. J Neurosci 36:5520-31
Suzuki, Jun; Corfas, Gabriel; Liberman, M Charles (2016) Round-window delivery of neurotrophin 3 regenerates cochlear synapses after acoustic overexposure. Sci Rep 6:24907
Knudson, Inge M; Melcher, Jennifer R (2016) Elevated Acoustic Startle Responses in Humans: Relationship to Reduced Loudness Discomfort Level, but not Self-Report of Hyperacusis. J Assoc Res Otolaryngol 17:223-35
Nam, Hui; Guinan Jr, John J (2016) Low-frequency bias tone suppression of auditory-nerve responses to low-level clicks and tones. Hear Res 341:66-78
Valero, Michelle D; Hancock, Kenneth E; Liberman, M Charles (2016) The middle ear muscle reflex in the diagnosis of cochlear neuropathy. Hear Res 332:29-38
Tong, Benton; Hornak, Aubrey J; Maison, Stéphane F et al. (2016) Oncomodulin, an EF-Hand Ca2+ Buffer, Is Critical for Maintaining Cochlear Function in Mice. J Neurosci 36:1631-5
Kempfle, Judith S; Turban, Jack L; Edge, Albert S B (2016) Sox2 in the differentiation of cochlear progenitor cells. Sci Rep 6:23293
Liberman, Leslie D; Liberman, M Charles (2016) Postnatal maturation of auditory-nerve heterogeneity, as seen in spatial gradients of synapse morphology in the inner hair cell area. Hear Res 339:12-22
Hu, Lingxiang; Lu, Jingrong; Chiang, Hao et al. (2016) Diphtheria Toxin-Induced Cell Death Triggers Wnt-Dependent Hair Cell Regeneration in Neonatal Mice. J Neurosci 36:9479-89
Day, Mitchell L; Delgutte, Bertrand (2016) Neural population encoding and decoding of sound source location across sound level in the rabbit inferior colliculus. J Neurophysiol 115:193-207

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